Wasserstein Embedding for Graph Learning

Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde +1

We present Wasserstein Embedding for Graph Learning (WEGL), a novel and fast framework for embedding entire graphs in a vector space, in which various machine learning models are a…